boofcv.alg.fiducial.calib.squares

Class SquaresIntoCrossClusters

java.lang.Object

boofcv.alg.fiducial.calib.squares.SquaresIntoClusters

boofcv.alg.fiducial.calib.squares.SquaresIntoCrossClusters

public class SquaresIntoCrossClusters
extends SquaresIntoClusters

Processes the detected squares in the image and connects them into clusters in which the corners of each square almost touches the corner of a neighbor.

Field Summary

Fields

Modifier and Type	Field and Description
int	maxNeighbors

Constructor Summary

Constructors

Constructor and Description
SquaresIntoCrossClusters(double maxCornerDistance, int maxNeighbors) Declares data structures and configures algorithm

Method Summary

Modifier and Type	Method and Description
java.util.List<java.util.List<SquareNode>>	process(java.util.List<Polygon2D_F64> squares, java.util.List<BinaryPolygonDetector.Info> info) Processes the unordered set of squares and creates a graph out of them using prior knowledge and geometric constraints.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

maxNeighbors

public int maxNeighbors

Constructor Detail

SquaresIntoCrossClusters

public SquaresIntoCrossClusters(double maxCornerDistance,
                                int maxNeighbors)

Declares data structures and configures algorithm

Parameters:

maxCornerDistance - Maximum distance two corners can be in pixels.

maxNeighbors - Max number of neighbors it will consider. Try 4 or -1 for all

Method Detail

process

public java.util.List<java.util.List<SquareNode>> process(java.util.List<Polygon2D_F64> squares,
                                                          java.util.List<BinaryPolygonDetector.Info> info)

Processes the unordered set of squares and creates a graph out of them using prior knowledge and geometric constraints.

Parameters:

squares - Set of squares

Returns:

List of graphs. All data structures are recycled on the next call to process().